Math 150 – Probability and Statistics Spring 2015 Introduction and Basic Terminology
Introduction Outline Syllabus Review Introduction to Probability and Statistics Basic Terminology (Ch2) Graphical Representation of Distributions (Ch2)
Statistics vs. Algebra/Calculus Inductive vs. Deductive Reasoning Emphasis on analysis / confidence of results Applied word problems Random behavior Little equation solving, no factoring!, no quadratic formula!, little graphing
Course Overview Ch3 – Statistical Summary Ch4 – Regression Ch5 – Probability Ch6 – Discrete Probability Distributions Ch7 – Continuous Probability Distributions Ch8 – Sampling Distributions Ch9 – Confidence Ch10, Ch11, Ch12 – Hypothesis Testing
Applications of Statistics and Probability
Gambling / Games of Chance Expected Value Conditional Probability Poker Roulette Dice / Craps
Biology / Health Sciences Genetics – Mendel Laws / Punnett Square Human Genome Project Genetic Diseases HIV testing Mammograms Drug Testing
Economics and Management Stock Market volatility / deviation Investment Expected value Extrapolation
Insurance Likelihood of injury, property damage, accidents Location and demographic influence on rates Actuarial Science
Politics Census Political strategy Sample opinion polls – representative of population?
Law Statisticians as lawyers Interpretation of data driven evidence Misleading data and displays Ex: smoking vs lung cancer Hypothesis Test
Basic Terminology (Ch2) Data (qualitative vs quantitative) Population Sample Parameter Statistic Distribution SRS (Simple Random Sample)
Describing Distributions Quantitatively (Ch3) Qualitatively – Histogram – Shape Symmetry vs Skewed Uniform Distribution Skew left vs skew right – Modes Unimodal, Bimodal, Multimodal, Uniform (no mode)
Histogram
Relative Frequency Histogram
Symmetric, unimodal distribution
Symmetric, Unimodal distribution
Asymmetric, bimodal distribution
Uniform Distribution
Skew Left Distribution
Skew right distribution
Other Displays Ex: Dotplot
Pie Chart
Misleading Displays